Baç, N.Ekmekci, İsmail2021-01-252021-01-25202097830300000002194-5357https://doi.org/10.1007/978-3-030-50946-0_12https://hdl.handle.net/11467/4513AHFE Virtual Conferences on Safety Management and Human Error, Reliability, Resilience, and Performance, 2020 -- 16 July 2020 through 20 July 2020 -- -- 241769Occupational health and safety practices continue to improve, but accidents and occupational health issues continue to cause problems for management and employees. Although psychosocial risks and hazards have substantial adverse effects, they are often overlooked in most risk assessment practices. The objective of this work is to assess the employee psychosocial risks by a case study using the COPSOQII questionnaire at a metal processing plant. Inputs from COPSOQII questionnaire were used to assess psychosocial hazards in Fine Kinney analysis. The Fine-Kinney method contains fuzzy decisions. This uncertainty is resolved by using the ANFIS (Adaptive Neuro-Fuzzy Inference System) module. Results of the ANFIS model indicate that when actual risks and those predicted by the model are compared, the model could predict the risk scores with high accuracy. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.eninfo:eu-repo/semantics/closedAccessANFISCOPSOQII questionnaireFine kinney analysisPsychosocial risksConference Object1204 AISC8490N/A2-s2.0-8508823892310.1007/978-3-030-50946-0_12